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Hossam El-kharbotlyHE
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Hossam El-kharbotly

@hossamel-kharbotly

AI Engineer at Dar Al-Handasah building production multi-agent systems and on-prem LLM infrastructure serving hundreds of users.

Egypt
Message

At Dar Al-Handasah, I build production multi-agent systems on AIDA, the firm-wide AI platform, serving hundreds of users across three departments. I also designed and operate a model-agnostic on-premise LLM stack, with model selection guided by golden-set benchmarks against Azure OpenAI.

I built a human-in-the-loop capability for agents and developed a BoQ cost-intelligence system that cut cost engineers’ lookups from up to half a day to minutes. My work also spans enterprise document parsing, Arabic NLP, and adaptive learning systems built with knowledge graphs and LLM orchestration.

Experience

Work history, roles, and key accomplishments

DA
Current

AI Engineer & Automation Specialist

Dar Al-Handasah

Feb 2026 - Present (8 months)

Embedded on-site with Dar's PMC unit in Amman, ran discovery, demoed, tested, and onboarded agents, training ~10 cost engineers. Built production multi-agent systems on AIDA, serving hundreds of users across 3 departments with thousands of requests per month.

ED

AI Engineer

Edulga

Aug 2025 - Jan 2026 (5 months)

Designed and shipped an adaptive learning platform that turns unstructured content into personalized learning roadmaps using knowledge graphs and LLM orchestration, serving 12+ REST endpoints at <100ms P95. Built Neo4j-based knowledge-graph pipelines and LangChain integrations, reduced latency and API spend via async parallelization, HTTP/2 pooling, prompt caching, and batched operations.

IN

Freelance AI Engineer

Independent

Mar 2025 - Aug 2025 (5 months)

Delivered custom AI solutions to 3 business clients in Egypt, owning each engagement end to end: discovery, requirements, live demos, deployment, and a paid-for product.

Education

Degrees, certifications, and relevant coursework

Nile University logoNU

Nile University

Bachelor of Engineering and Applied Science, Electronics and Computer Engineering

2019 - 2024

Grade: 3.03/4.00

Activities and societies: Six posters at the Undergraduate Research Forum (UGRF), first place for two.

Bachelor of Engineering and Applied Science in Electronics and Computer Engineering. Graduated with a GPA of 3.03/4.00 and a graduation project grade of Excellent.

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